{"id":859298,"url":"https://alion.io/job/lokainc-senior-data-engineer","title":"Senior Data Engineer","company":{"id":679008,"name":"Loka","domain":"lokainc.com","url":"https://alion.io/company/lokainc","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"D","score":47,"open_postings":10,"ghost_share":0.8,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":124,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["North Macedonia"],"countries":["MK"],"hiring_countries":["MK"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":38000,"max_usd":99000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2679},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"DynamoDB","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"MySQL","optional":false},{"name":"Neo4j","optional":false},{"name":"OpenSearch","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true},{"name":"Databricks","optional":true},{"name":"Delta Lake","optional":true},{"name":"GitHub","optional":true},{"name":"IAM","optional":true},{"name":"Pandas","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2023-09-04T08:04:59Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-11-07T10:57:44Z","board_verified":true,"closed_at":null,"days_open":1160,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":1159},"description":"Years from now, history will look back at this moment as a landmark for the human race-the moment when generative artificial intelligence began to change everything. Luckily, you happen to be living through it. Now what?\nIf you’re one of those rare people driven to add their intellectual energy to the relentless momentum of technological advancement, consider Loka your optimal leverage point.\nLoka is a globally distributed tech consultancy based in Silicon Valley, and we’re seeking a Senior Data Engineer to join our growing team. In this role you will design, implement and scale data solutions from batch to streaming, dealing with the low-latency requirements of a few megabytes up to several petabytes. You will be an evangelist of good practices and dwell at the cutting edge of new technologies and architectural patterns. Ultimately we expect that you will not just fit in with our Data crew but elevate it to new heights.\nWe help our clients launch innovations that fix the climate, defeat cancer, improve agricultural efficiencies, teach kids to read and more. We work with all kinds of companies, from Silicon Valley startups to major household brands, always guided by our fundamental belief that mission matters. We count more than 200 certified specialists, technical experts and PhDs among our colleagues-committed Lokals who contribute to their brilliance not only to serving our clients but to mentoring junior colleagues as well. We work entirely remotely, test new ideas with our in-house incubator and take every other Friday off (really).\nTo cap it off, at the end of 2024 Loka was recognized by AWS as Innovation Partner of the Year, beating more than 150,000 partners for the title.\nWe’re as proud of our culture as we are of our projects. You will be too. Join our team, feed your need to grow and ship projects you believe in with a team you’re proud to be a part of.\nThe Role\nBuild scalable production-grade data pipelines and real-time data streams.\nWrite and design scalable, cloud-ready applications.\nLead technical projects through architecture, design and implementation phases.\nEngage with clients to understand their business and technical needs, evaluate potential solutions, and define high-level implementation approaches and estimates.\nCollaborate with Machine Learning, Data Science, Design, Software Engineering and Business teams to triage data or ETL issues.\nBuild tests and health checks to maintain code and data quality.\nMonitor and analyze data flowing through various systems by adding appropriate visualizations and dashboards.\nContribute to internal engineering initiatives and projects, helping identify opportunities for improvement, evaluate solutions, and drive their implementation.\nProvide updates and offer guidance to clients.\nTechnical Requirements\nAdvanced Python and SQL\nExperience in ETL design, implementation, and maintenance.\nExperience in AWS (preferred), GCP, or Azure delivering data-centric product experiences\n5+ years experience in related role\nExperience with in-memory and disk-based databases, relational and non-relational databases, full-text search engines, database design, development, and maintenance. (Such as MySQL, MongoDB, OpenSearch, and DynamoDB, with bonus for Graph Databases like Neo4j)\nExperience with data warehousing and multidimensional data models (columnar data modeling)\nWorking knowledge in Data Lake, Data warehouse and massive parallel processing\nStrong problem-solving ability and ability to work through ambiguity and incomplete specifications\nPreferred but Not Required\nWorking knowledge in IAM, Federated Authentication, SSO, SAML, Encryption, Security, APIs, Disaster Recovery or Backup\nStrong ability in distributed systems for large-scale data processing\nExperience with Spark and Pandas\nExperience with Open Tables (Hudi, Delta Lake, DataBricks, Iceberg as related to Data Lakehouse)\nExperience with Infrastructure as Code and CI/CD Pipelines\nExperience with QuickSight and DataViz\nAdditional Requirements\nExcellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications\nCV written in English\nPersonality Profile\nCurious: You strive to learn and grow into different industries with a modern tech stack.\nAutonomous: You thrive in a fully remote, globally distributed team.\nCollaborative: You enjoy working across departments.\nAdaptable: You operate with a startup mindset and move at startup speed.\nBenefits\nEvery other Friday off (26 extra days off a year)\nRemote-first culture\nExplore and Relocation programs (three months work abroad or full international relo)\nPaid sick days and local holidays\nBusiness English classes program\nContinuous Learning Support\nFitness and/or Mental Health Subscriptions\nAccess to LokaLabs™, our internal research and development program\nDefined career path\nYour achievements matter to us! 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